Two-Level Authentication IOT-Based Attendance Tracking System Using Fingerprint Biometry and RFID Card/Reader with Raspberry Controller

Abstract

This paper proposes a secure and efficient attendance tracking system using a two-level authentication approach that combines fingerprint biometrics and RFID technology. The system utilizes a Raspberry Pi controller, a GT-521F52 fingerprint module, and an RFID tag/reader to capture and verify students' attendance. The fingerprint biometric data is stored in both local memory and a cloud server, while the RFID authentication system employs the RC4 cryptographic algorithm to encrypt students' card Unique Identifiers (UIDs). The system ensures accurate and secure attendance tracking, with all recorded data saved to a database for easy access. This research contributes to the development of reliable and efficient attendance systems, with potential applications in educational institutions and other organizations.